rutgerswiselab

Department of Computer Science Rutgers University

Rutgers UniversityNew Brunswick, NJ

Pinned Repositories

AutoLossGen
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Language:Python21 3 14
DCCF
Deconfounded Causal Collaborative Filtering
Language:Python7 2 61
DyCCF
Dynamic Causal Collaborative Filtering
Language:Python6 2 01
ExplainableFold
Language:Python13 3 02
GenRec
Large Language Model for Generative Recommendation
Language:Python57 3 66
NCR
Neural Collaborative Reasoning
Language:Python30 3 28
NLR
Code for paper: Neural Logic Reasoning
Language:Python54 5 211
NS-KGE
Non-Sampling Knowledge Graph Embedding
Language:Python14 3 24
PAP-REC
Language:Python10 2 00
user-fairness
User-oriented Fairness in Recommendation
Language:Python28 2 77

rutgerswiselab's Repositories

rutgerswiselab/GenRec
Large Language Model for Generative Recommendation
Language:Python57 3 66
rutgerswiselab/NLR
Code for paper: Neural Logic Reasoning
Language:Python54 5 211
rutgerswiselab/NCR
Neural Collaborative Reasoning
Language:Python30 3 28
rutgerswiselab/user-fairness
User-oriented Fairness in Recommendation
Language:Python28 2 77
rutgerswiselab/AutoLossGen
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Language:Python21 3 14
rutgerswiselab/NS-KGE
Non-Sampling Knowledge Graph Embedding
Language:Python14 3 24
rutgerswiselab/ExplainableFold
Language:Python13 3 02
rutgerswiselab/PAP-REC
Language:Python10 2 00
rutgerswiselab/DCCF
Deconfounded Causal Collaborative Filtering
Language:Python7 2 61
rutgerswiselab/DyCCF
Dynamic Causal Collaborative Filtering
Language:Python6 2 01
rutgerswiselab/CCF
Causal Collaborative Filtering
Language:Python5 2 01
rutgerswiselab/Personalized-Counterfactual-Fairness-in-Recommendation
Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")
Language:Python5 0 00
rutgerswiselab/gnn_cff
Language:Python1 0 00
rutgerswiselab/LLM-RecSys-ID
How to Index Item IDs for Recommendation Foundation Models
Language:Python1 0 0
rutgerswiselab/MANAS
Modularized Adaptive Neural Architecture Search
Language:Python1 0 0
rutgerswiselab/CAFE
Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
Language:Python0 0
rutgerswiselab/COOKIE
A Dataset for Conversational Recommendation over KnowledgeGraph in E-commerce
0 0
rutgerswiselab/counter
Counterfactual Explainable Recommendation
Language:Python0 0
rutgerswiselab/EXTRA
SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation
0 0
rutgerswiselab/FCPO
code for ‘Towards Long-term Fairness in Recommendation’
Language:Jupyter Notebook0 0
rutgerswiselab/FedFairRec
Federated Fairness-aware Recommendation
Language:Python0 0
rutgerswiselab/InstructGLM
Natural Language is All a Graph Needs
Language:Python0 0
rutgerswiselab/Intent-Aware-Ranking-Transformers
Code on IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems (WWW 2020)
Language:Python0 0
rutgerswiselab/LOGER
Faithfully Explainable Recommendation via Neural Logic Reasoning
Language:Python0 0
rutgerswiselab/OpenP5
OpenP5: Benchmarking Foundation Models for Recommendation
Language:Python0 0
rutgerswiselab/P5
Language:Python0 0
rutgerswiselab/PETER
ACL'21, Personalized Transformer for Explainable Recommendation
0 0
rutgerswiselab/PivotCVAE
This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"
Language:Python0 0
rutgerswiselab/ucr
Official implementation for paper "User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations" in ECAI2023
Language:Python0 0
rutgerswiselab/VIP5
VIP5: Towards Multimodal Foundation Models for Recommendation
Language:Python0 0